Evidence map›Paper›PMID 40979552›Full record

ArticleJournal of diabetes and metabolic disorders2025

Pre-pandemic diabetes and risk of long COVID: longitudinal evidence.

Yusuff Adebayo Adebisi, Anas Ali Alhur, Najim Z Alshahrani, Victor C Cañezo, Edgar G Cue, Don Eliseo Lucero-Prisno

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yusuff Adebayo AdebisiCollege of Social Sciences, University of Glasgow, 40 Bute Gardens, Glasgow, G12 8RT United Kingdom.
Anas Ali AlhurCollege of Public Health and Health Informatics, University of Hail, Hail, Saudi Arabia.
Najim Z AlshahraniDepartment of Family and Community Medicine, Faculty of Medicine, University of Jeddah, Jeddah, Saudi Arabia.
Victor C CañezoOffice of the University President, Biliran Province State University, Naval, Leyte Philippines.
Edgar G CueOffice of the University President, Mountain Province State University, Bontoc, Mountain Province Philippines.
Don Eliseo Lucero-PrisnoDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine whether pre-pandemic diabetes is associated with an increased risk of Long COVID in a nationally representative UK cohort. Methods: We conducted a prospective cohort analysis using data from the UK Household Longitudinal Study. A total of 11,669 adults aged ≥ 16 years were followed from Wave 10 (2018-19) to Wave 14 (2022-23). The primary exposure, pre-pandemic diabetes, was defined at baseline (Wave 10) based on self-report of a doctor diagnosis. The primary outcome, Long COVID, was assessed at follow-up (Wave 14) and defined as self-reported symptoms lasting more than 12 weeks after a COVID-19 infection that could not be explained by another cause. Modified Poisson regression models with robust standard errors were used to estimate relative risks of Long COVID associated with pre-pandemic diabetes. Predictive margins were then calculated to obtain adjusted probabilities. Results: At follow-up, 1,076 participants (9.2%) reported Long COVID. In the unadjusted model, participants with pre-pandemic diabetes had a 36% higher risk of Long COVID compared with those without diabetes (RR = 1.36, 95% CI: 1.09-1.69, Conclusions: In this nationally representative prospective cohort, pre-pandemic diabetes emerged as an independent risk factor for Long COVID. Enhanced surveillance and targeted support for individuals with diabetes may be warranted in Long COVID care strategies.

Indexed as

Chronic illnessCohort studyDiabetesLong COVIDPost-COVID syndrome

Identifiers

PMID40979552
PMCPMC12449287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.